According to a survey conducted by Ipsos on predictions for global issues in 2020, 30 percent of Chinese believed it that major stock markets might crash in 2020. The results of the survey showed that Chinese were among the most optimistic regarding the stock market in 2020.

China's main stock market index, the SHANGHAI, rose to 3385 points on June 6, 2025, gaining 0.04% from the previous session. Over the past month, the index has climbed 1.28% and is up 10.95% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on June of 2025.

At the end of December 2024, the Shenzhen Component Index value was 10,414.61, an increase of about 1,000 index points from December 2023. The data clearly shows how the value of the index increased before the stock market crash of 2015 and the following sell-off in the following year. In addition to that, the low year-end index value of 2018 was the result of the worst trading year of the decade on Chinese stock exchanges. Together, stocks on the Shanghai and Shenzhen stock exchanges lost around 24 percent in that year.

Emotions are fundamental elements driving humans’ decision-making and information processing. Fear is one of the most common emotions influencing investors’ behaviors in the stock market. Although many studies have been conducted to explore the impacts of fear on investors’ investment performance and trading behaviors, little is known about factors contributing to and alleviating investors’ fear during the market crash (or extremely volatile periods) and their fear regulation after the crisis. Thus, the current data descriptor provides details of a dataset of 1526 Chinese and Vietnamese investors, a potential resource for researchers to fill in the gap. The dataset was designed and structured based on the information-processing perspective of the Mindsponge Theory and existing evidence in life sciences. The Bayesian Mindsponge Framework (BMF) analytics validated the data. Insights generated from the dataset are expected to help researchers expand the existing literature on behavioral finance and the psychology of fear, improve the investment effectiveness among investors, and inform policymakers on strategies to mitigate the negative impacts of market crashes on the stock market.

Chinese listed companies data, encompasses stock price crash risk variables, audit system change records, and other necessary control variables. Date Submitted: 2023-11-18

In 2021, the interest income from margin financing and securities lending business of CITIC Securities amounted to around 9.9 billion yuan, ranking first among China's securities companies. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

This study examines the market return spillovers from the US market to 10 Asia-Pacific stock markets, accounting for approximately 91 per cent of the region’s GDP from 1991 to 2022. Our findings indicate an increased return spillover from the US stock market to the Asia-Pacific stock market over time, particularly after major global events such as the 1997 Asian and the 2008 global financial crises, the 2015 China stock market crash, and the COVID-19 pandemic. The 2008 global financial crisis had the most substantial impact on these events. In addition, the findings also indicate that US economic policy uncertainty and US geopolitical risk significantly affect spillovers from the US to the Asia-Pacific markets. In contrast, the geopolitical risk of Asia-Pacific countries reduces these spillovers. The study also highlights the significant impact of information and communication technologies (ICT) on these spillovers. Given the increasing integration of global financial markets, the findings of this research are expected to provide valuable policy implications for investors and policymakers.

This study uses panel data on Chinese A-share listed companies in Shanghai and Shenzhen covering 2014 to 2020 selected through the following screening: first, we exclude listed companies in the finance and insurance sectors; second, we exclude listed companies in ST and *ST (Special Treatment); finally, we exclude samples that lack important data. This approach generates 8,658 valid research sample observations. The data are obtained from several official websites, such as those for CSMAR (China Stock Market & Accounting Research Database), CNRDS (Chinese Research Data Services), and the Shanghai and Shenzhen stock exchanges.In this study, the descriptive and relevance of the final data was tested using Stata software, and baseline regression, threshold regression, and robustness and heterogeneity tests were performed. The final data were tested for descriptiveness and correlation using Stata software, and baseline regression, threshold regression, and robustness and heterogeneity tests were performed.

In 2021, China's securities company Guotai Junan Securities owned almost 105 billion yuan of net capital, ranking first among securities companies in China. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

In 2021, China's securities company Orient Securities generated an income of around 3.5 billion yuan from its asset management business. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

In 2021, China's securities company CITIC Securities generated net profits of around 23 billion yuan, ranking first in China. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

In 2021, China's securities company CITIC Securities generated over 41 billion yuan in its operating income, ranking first among all securities companies in China. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

In 2021, China's securities company China Merchants Securities generated around 949.2 million yuan from its investment advisory business, ranking first among all securities companies in China. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

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Algorithmic Trading Market Size 2025-2029

The algorithmic trading market size is forecast to increase by USD 18.74 billion at a CAGR of 15.3% between 2024 and 2029.

The market is witnessing significant growth due to the increasing automation in asset management and mutual funds. Computer-based trading systems, powered by machine learning and artificial intelligence, are increasingly being adopted by professional services firms to enhance trading strategies and improve operational efficiency. 
Technological advancements, such as hybrid cloud and blockchain technology, are also driving market growth. In the financial technology (fintech) sector, algorithmic trading bots are becoming increasingly popular for executing trades in real time, reducing human error and improving spreads. The wider bid-ask spread in the Asia Pacific region is also fueling market growth. Additionally, the digital transformation of the financial industry and the rise of cryptocurrency are creating new opportunities for algorithmic trading.
Overall, the market is expected to continue its growth trajectory, driven by these trends and the increasing demand for advanced trading solutions.

What will be the Size of the Algorithmic Trading Market during the Forecast Period?

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The market encompasses the use of computer programs and mathematical algorithms to execute trades in financial markets based on predefined rules. This automated approach to trading is increasingly popular among institutional investors such as hedge funds, pension funds, mutual funds, and others, seeking to minimize human error and maximize efficiency In the execution of trades. Algorithmic trading is utilized across various asset classes, including stocks, bonds, currencies, commodities, and even cryptocurrencies. The market's size and growth are driven by the increasing complexity and volatility of financial markets, as well as the need for real-time price fluctuations analysis and risk management.
Automation in financial services continues to gain traction, with cloud-based solutions becoming increasingly prevalent. Despite the benefits, challenges such as market volatility and the potential for unintended consequences remain, requiring ongoing risk management efforts. Overall, the market is a dynamic and evolving landscape, shaped by the intersection of finance and technology.

How is this Algorithmic Trading Industry segmented and which is the largest segment?

The algorithmic trading industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Solutions
  Services


End-user

  Institutional investors
  Retail investors
  Long-term investors
  Short-term investors


Deployment

  Cloud
  On-premise


Type

  Foreign Exchange (FOREX)
  Stock Markets
  Exchange-Traded Fund (ETF)
  Bonds
  Cryptocurrencies
  Others


Geography

  North America

    Canada
    US


  APAC

    China
    India
    Japan


  Europe

    Germany
    UK
    France
    Italy


  South America

    Brazil


  Middle East and Africa

By Component Insights

The solutions segment is estimated to witness significant growth during the forecast period. The market involves the use of computer programs and mathematical algorithms to execute trades in financial markets based on predefined rules. Algo trading, also known as black box trading, is employed by hedge funds, institutional investors, and capital markets firms to trade stocks, bonds, currencies, commodities, and other assets with speed and efficiency. Algorithmic trading platforms provide automated trading, matching engines, and market integrity, ensuring accountability and reducing human error. companies offer a range of software solutions for algorithmic trading, enabling traders to handle large volumes and manage risk in volatile markets. Cloud-based deployment and integration with artificial intelligence (AI) and other financial service algorithms enhance business agility.

Market transparency and liquidity are crucial aspects of algorithmic trading, with solutions addressing market volatility, price fluctuations, and flash crashes. Algorithmic trading solutions are integral to the success of trading operations In the stock market, cryptocurrency market, and other capital markets.

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The solutions segment was valued at USD 8.04 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 37% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more ins

In 2021, China's securities company CITIC Securities managed client monies amounting to around 143 billion yuan, ranking first among all securities companies in China. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However, Chinese equity market has been gradually picking up since 2019.

In 2021, China's securities company CITIC Securities generated an income of around 764 million yuan from its financial advisory business. After the stock market crash in 2015, China's securities market has been shrinking, demonstrating less trading revenue and lower profit rate. However. Chinese equity market has been gradually picking up since 2019.